Tiny Tales.

The problem

Early childhood teachers work in busy, noisy rooms, overwhelmed with kids and admin, and often not tech-savvy. They have no time in the moment to write parent updates, so updates get rushed, skipped, or turn out generic and repetitive.

Meanwhile parents are highly emotionally invested, expect transparency and digital communication, and often live in multilingual households. Traditional childcare apps produce generic updates, and the documentation burden fuels teacher burnout — in an industry with low tolerance for anything that adds workload.

The solution

Tiny Tales lets teachers capture classroom moments in seconds and turns them into teacher-approved story cards for families. Teachers record a voice note or upload a photo; the system transcribes and analyzes it, drafts a warm, personalized story per child, and keeps everything in draft until a teacher approves it.

The differentiator is removing the burden from teachers while producing deeply personalized, human-sounding stories tied to each child's development — inside a workflow teachers will actually use. Draft and flagged content never appears in the parent feed; nothing reaches families without human review.

How it works

The MVP runs on Gemini 2.5 Flash for vision, voice, and story generation, with Gemini 2.5 Flash Lite handling child tagging, safety flagging, and evals at ultra-low latency. Audio or a classroom photo plus the enrolled-children list produces captured moments, which are joined and passed to story generation, all stored in Firebase/Firestore.

Prompts enforce strict rules: a zero-tolerance privacy rule so a child's story never names another child (others become "friends"), grounded and realistic narratives, returning nothing on silent or unclear audio, and identifying only children whose names appear in the verified enrolled list. Evaluation is a hybrid architecture — an LLM-as-judge scores accuracy, privacy, and safety, while human review stays the final gate. After fixing the evaluator to stop penalizing omission of unrelated children, a benchmark run scored 100% on both accuracy and privacy.

Who it's for

This is a B2B2C product: childcare centers buy it, teachers use it, and parents receive the value. Primary users are teachers, who want to save documentation time, communicate clearly with parents, and capture meaningful learning moments without burnout.

Secondary users are parents and families consuming the updates — busy, often multilingual working parents who want warm, meaningful stories that help them understand their child's day and feel connected and reassured.

Why it matters

The target segment is projected to grow at a ~12-16% CAGR over the next 3-5 years, driven by demand for teacher productivity tools and parent communication at scale, against headwinds of teacher shortages and burnout. Tiny Tales sells an AI storytelling app to childcare centers on a subscription model.

Launch is a pilot with a childcare centre in Auckland, New Zealand to validate product-market fit and measure teacher time saved and parent engagement, aiming to prove daily use then scale via parent advocacy and director buy-in. Given the stakes of early childhood, the product is built compliance-first — aligned to the NZ Privacy Act 2020, with content moderation, teacher accountability trails, and secure, partitioned child data.

At a glance

Project

Tiny Tales

Built by

Mariana Sayed

One-liner

Tiny Tales helps early childhood teachers capture classroom moments quickly and turn them into teacher-approved story cards for families.